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Securities Quantitative Analytics Senior Manager - Head of Market Risk Analytics - Credit Products and XVA
United States, Charlotte · Job Posted March 27, 2026
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Job Description
Wells Fargo is seeking a Securities Quantitative Analytics Senior Manager, an Executive Director position, to fill the role within the Corporate & Investment Banking (CIB) Market and Counterparty Risk Model Development team. This position will cover researching, developing, implementing, testing, analyzing, monitoring, and documentation of market and counterparty risk management and regulatory capital models, with a focus on market risk modeling for credit products and XVA.
Job Responsibility
Design, develop, implement, and maintain various quantitative models for traded credit products and XVA for risk management and regulatory capital purposes
Perform highly complex activities related to financial products, business analysis and modeling
Perform basic statistical and mathematical models using Python, C++ and Java
Perform analytical support and provide insights regarding a wide array of business initiatives
Provide solutions to business needs and analyze workflow processes to make recommendations for process improvement in risk management
Collaborate and consult with peers, colleagues, managers and regulators to resolve issues and achieve goals
Establishing effective yet automated controls and creating consistent and robust execution processes across models
Maintaining documentation for key implementation processes across the team with focus on standardization of implementation and execution controls
Partnering with modeling team to understand model structure and limitation
performing model performance monitoring, creating and sharing regular reports with key stockholders
Requirements
7+ years of Securities Quantitative Analytic experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
Nice to have
PhD degree or equivalent in statistics, mathematics, physics, engineering, computer science, economics, finance or quantitative field.
Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Experience managing a quantitative team of direct reports, with full accountability for performance, delivery, and execution of analytical initiatives.
Extensive experience in traded credit products and XVA pricing and market risk model development, implementation, testing, documentation, validation, and maintenance.
Extensive hands-on coding experience, with Python, C++ and Java.
Solid knowledge of regulatory capital requirements for market risk, e.g. Basel 2.5 and FRTB.
Strong financial modeling knowledge in financial mathematics, particularly in stochastic calculus and numerical methods.
Delivery focused with extensive experience partnering with technology to deploy models in the system.
Ability to work on multiple projects and effectively organize tasks, manage time, set priorities, work under pressure, meet deadlines, and deliver results with speed and agility.
Strong interest in financial markets and willingness to provide practical solutions for the business stakeholders.
Demonstrated experience in successfully collaborating with others in a change driven and dynamic environment and across all organizational levels, where flexibility, collaboration, and adaptability are important.